Question

Part 1: The appropriate test to check for differences in means of dependent samples is the:

(a) Chi-square test

(b) paired T-test

(c) goodness-of-fit

Part 2: A coefficient of correlation of -0.9 indicates the relationship between the two variables is:

(a) weak and negative

(b) strong and positive

(c) strong and negative

Part 3: A normal distribution has a mean of 100 and a standard deviation of 10. For a sample size of 16, the standard error of the mean is:

(a) 2.0  

(b) 2.5

(c) 25

(d) none of the above

Answer 1

Part 1

to test the difference of two dependent samples we use paired T-test

Part 2

here r = -0.9

so there is strong negative correlation between 2 variables

part 3

here mean = 100, S.D(s) = 10

and sample size(n)= 16

then standard error (S.E)=

=

= 2.5